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Shantanu Singh edited this page May 10, 2016 · 76 revisions

Tuesday May 10, 2016

Time Description Who
13:30 - 15:30 Meet at Park Street Red line station. Look for Shantanu, Alison, and Mohammad (pictures here) All invited, RSVP to imagingadmin@broadinstitute.org
15:30 - 16:45 Take the red line to Harvard Square for ice cream and walk through Harvard University campus
18:00 - Dinner at John Harvard's in Harvard Square All invited, RSVP to imagingadmin@broadinstitute.org

Wed May 11, 2016

Time Description Who
08:00 - 08:30 Registration -
08:30 - 09:00 Breakfast -
09:00 - 09:15 Welcoming remarks Anne Carpenter
09:15 - 09:45 Introductions and motivations All participants
09:45 - 11:15 Overviews of typical profiling workflow First batch of participants
11:15 - 11:30 Break -
11:30 Lunch is served -
11:30 - 11:45 Introduction to small-molecule profiling Paul Clemons (guest speaker)
11:50 - 12:05 Connectivity Map: Analysis and Computational Challenges Rajiv Narayan (guest speaker)
12:10 - 12:25 Proteomic Connectivity Maps Jake Jaffe (guest speaker)
12:25 - 13:00 Break -
13:00 - 14:30 Overviews of typical profiling workflow Second batch of participants
14:30 - 15:15 Hack! (Plan TBD) All participants
15:15 - 15:30 Some thoughts about visualizing high-throughput imaging data Noam Shoresh (guest speaker)
15:30 - 17:00 Hack! (Plan TBD) All participants
18:00 - Dinner at Area Four All participants

Thu May 12, 2016

Time Description Who
08:00 - 08:45 Breakfast at Clover -
09:15 - 09:35 Cajal revisited : Mapping molecular expression to morphology in the mouse retina Karthik Shekhar (guest speaker)
09:35 - 12:00 Hack! (Plan TBD) All participants
12:00 Lunch is served -
15:15 - 17:00 Hack! (Plan TBD) All participants
18:00 Dinner at The Similians All participants

Typical profiling workflow

  • 1 member from each group presents their typical profiling workflow
  • 8 mins talk + 2 mins transition
  • Prep:
  • Prepare slides
  • Update the workflow document with details and references
  • Presentation not required if the workflow or algorithms need to remain confidential/proprietary

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